The College of Engineering and Computer Science of Florida Atlantic University (FAU) in collaboration with the Stiles-Nicholson Brain Institute (SNBI) is pleased to announce openings for faculty positions at the Assistant and Associate Professor levels. These positions are centered on computational neuroscience, neural data science, and brain-inspired computation, encompassing specialties such as algorithmic approaches, hardware innovations, artificial intelligence, deep learning, and the software foundations of neuromorphic computing. Candidates will engage with data from model systems to explore the physiology of brain circuits. Successful candidates will play a critical role in advancing our research and educational goals, contributing significantly to our neuroscience research community at the Jupiter Campus and collaborating with research communities of other FAU campuses.

At the rank of Associate Professor, the successful candidate will sustain a robust research and teaching portfolio, both independently and collaboratively, and assume a leadership role within the Computational Neuroscience Program at the SNBI. This position involves setting strategic directions and fostering a culture of innovation, integrating engineering and computer science programs with graduate neuroscience offerings. Candidates are expected to demonstrate a significant record of research funding and scholarly contributions, substantial experience in mentoring students and junior faculty, a commitment to high-quality teaching across diverse courses, and active participation in interdisciplinary initiatives.

At the Assistant Professor rank, candidates should exhibit a track record of advanced scholarly research in computational neuroscience and be prepared to initiate and develop a robust, independent research program that will attract competitive external funding. Responsibilities include mentorship of students and active participation in service roles within the university, college, and associated institutes.

Appointed candidates at both ranks will be recognized as Fellows within FAU’s multidisciplinary institutes including the SNBI, I-Health, and I-SENSE. The academic appointment will be in the College of Engineering and Computer Science, the Department of Biomedical Engineering, or the Department of Electrical Engineering and Computer Science. Dual appointments in both departments are possible, showcasing our commitment to fostering collaborative and innovative research and teaching environments.

The FAU College of Engineering and Computer Science is distinguished as one of the top three fastest-rising engineering colleges in the US from 2020-22 according to US News and World Report. Over the past 5 years, the college has achieved remarkable growth, including a 190% increase in external research funding and a 171% rise in enrollment in computer science graduate programs. Additionally, the college has expanded its student internship opportunities by over 500%. Our graduates boast some of the highest employment rates among engineering colleges in the Florida State University System, highlighting our dedication to student success and pioneering advancements in education and research.

The SNBI supports over 80 faculty members across multiple FAU campuses and is home to two research centers and a multi-college Neuroscience Graduate Program. The SNBI also supports community programs that introduce brain and science concepts to people of all ages, emphasizing youth programs. A strong partnership exists with the Cox Science Center and Aquarium where the SNBI and I-SENSE helped create a $2.5 million permanent exhibit Journey Through the Human Brain.

The College of Engineering and Computer Science at Florida Atlantic University seeks scholars who are committed to supporting the learning needs of students from diverse backgrounds and to thoughtfully engaging all communities in higher education.

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Florida Atlantic University College of Engineering and Computer Science jobs

Assistant Professor / Associate Professor - Computational Neuroscience/Neural Data Science